Thomas Guyet
Impact in
- Signal Processing top 5%
- Time Series Analysis and Forecasting
- Information Systems top 5%
- Data Mining Algorithms and Applications
Papers in
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- Time Series Analysis and Forecasting 14
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- Data Mining Algorithms and Applications 20
- Co-authors
- René Quiniou (17 shared papers)Simon Malinowski (9 shared papers)Romain Tavenard (6 shared papers)Florent Masséglia (3 shared papers)Marie-Odile Cordier (3 shared papers)Wei Wang (1 shared paper)Xiangliang Zhang (1 shared paper)Michel Dojat (3 shared papers)
In The Last Decade
Thomas Guyet
54 papers receiving 526 citations
Peers
Comparison fields: 5 of 70
- Signal Processing 128
- Information Systems 112
- Computer Networks and Communications 87
- Artificial Intelligence 73
- Media Technology 17
Countries citing papers authored by Thomas Guyet
This map shows the geographic impact of Thomas Guyet's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Thomas Guyet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Guyet more than expected).
Fields of papers citing papers by Thomas Guyet
This network shows the impact of papers produced by Thomas Guyet. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Thomas Guyet. The network helps show where Thomas Guyet may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Guyet, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 92 | |
| 2 | 2013 | 55 | |
| 3 | 2021 | 39 | |
| 4 | 2007 | 36 | |
| 5 | 2008 | 30 | |
| 6 | 2015 | 30 | |
| 7 | 2008 | 27 | |
| 8 | 2022 | 27 | |
| 9 | Extracting temporal patterns from interval-based sequences | 2011 | 23 |
| 10 | 2013 | 23 | |
| 11 | 2016 | 23 | |
| 12 | NegPSpan: efficient extraction of negative sequential patterns with embedding constraints | 2018 | 17 |
| 13 | Knowledge-based Sequence Mining with ASP | 2016 | 12 |
| 14 | 2017 | 9 | |
| 15 | 2014 | 7 | |
| 16 | Bag-of-Temporal-SIFT-Words for Time Series Classification | 2015 | 7 |
| 17 | 2017 | 7 | |
| 18 | 2022 | 7 | |
| 19 | 2023 | 7 | |
| 20 | 2021 | 6 |
About Thomas Guyet
Thomas Guyet is a scholar working on Signal Processing, Information Systems, Artificial Intelligence, Computer Networks and Communications and Health Information Management, having authored 61 papers that have together received 551 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (20 papers), Time Series Analysis and Forecasting (14 papers), Network Security and Intrusion Detection (6 papers), Explainable Artificial Intelligence (XAI) (5 papers), Machine Learning in Healthcare (3 papers), Electronic Health Records Systems (3 papers), Forecasting Techniques and Applications (2 papers) and Medical Coding and Health Information (2 papers). The work is most often cited by research in Signal Processing (128 citations), Information Systems (112 citations), Computer Networks and Communications (87 citations), Artificial Intelligence (73 citations) and Media Technology (17 citations). Thomas Guyet has collaborated with scholars based in France, Germany and Norway. Frequent co-authors include René Quiniou, Simon Malinowski, Romain Tavenard, Florent Masséglia, Marie-Odile Cordier, Wei Wang, Xiangliang Zhang, Michel Dojat, Catherine Garbay B and Wei Wang. Their work appears in journals such as Lecture notes in computer science, Machine Learning, Computers in Biology and Medicine, Journal of Biomedical Informatics and International Journal of Applied Earth Observation and Geoinformation.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.